simple_ml 0.1.9

Functions required for data analysis and machine learning tasks
Documentation

Description

To make a library of functions that are frequently used for data anlaysis and machine learning tasks

List of Functions and Structs

lib_matrix

1. dot_product
2. element_wise_multiplication
3. matrix_product
4. pad_with_zero
5. print_a_matrix
6. shape_changer
7. transpose
8. vector_addition
9. make_matrix_float
10. make_vector_float
11. round_off_f
12. unique_values
13. value_counts
14. is_numerical
15. min_max_f
16. type_of

lib_ml

1. coefficient
2. convert_and_impute
3. covariance
4. impute_string
5. mean
6. read_csv
7. root_mean_square
8. simple_linear_regression_prediction
9. turn_string_categorical
10. variance
11. normalize_vector_f
12. logistic_function_f

lib_nn

1. create_layer (Struct)

1. activation_leaky_relu
2. activation_relu
3. activation_sigmoid
4. activation_tanh